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Course Notes: Intro to HCI & Design Thinking (Stanford CS 147)


CS 147 is a course on Human-Computer Interaction (HCI) and Design Thinking offered at Stanford University taught by Professor James Landay. These notes were prepared for the Winter 2022 course delivered in a hybrid format due to COVID-19. The course introduces principles for designing and evaluating user interfaces.


01 Jul 2022


#writing #human-computer-interaction

Introduction

The academic field of human-computer interaction (HCI) has grown considerably in the past two decades as mobile and desktop technologies are now used by and impact billions of people all around the world.

This course synthesizes key research findings, provides practical approaches to user interface (UI) prototyping, and a strong introduction to the design thinking process developed by the Hasso-Plattner Institute and Stanford University to create experiences that are grounded in observations of how real people use software products.

These course notes are summaries of key points in pre-lecture reading materials and lectures including key graphics and resources to better illustrate and aid in learning.

Note from the author: Please do note that these are my (Pramod’s) own notes and may not fully reflect the learning outcomes of James Landay’s course; howerver, I will do the best I can to write an introduction to HCI faithful to the teachings of James Landay and his wonderful staff of course assistants.

Course overview

The PDF screen-grab of the syllabus for this course is available here:

These course notes will consist of 10 major sections based on the organization of the two hour lecture periods over the ten week Stanford quarter.

  1. 1A: Introduction to HCI and a Techno-Realist Vision
  2. Design Thinking:
    1. Design Discovery (1B)
    2. Define (2A)
    3. Ideate (2B)
    4. Concept Videos (3B)
    5. Exploration (4A)
    6. Early Stage Prototyping (4B)
  3. Visual Information Design (5B)
  4. Early and Future Visions of HCI (6A)
  5. Human Abilities (6B)
  6. Heuristic Evaluation (7A)
  7. Conceptual Models and Interface Metaphors (7B)
  8. Usability Testing (9A)
  9. Design Patterns (9B)
  10. Smart Interfaces for Human-Centered AI (10B)

Let’s get into it!

Lecture 1A: Introduction to HCI and a Techno-Realist Vision

Pre-Lecture Readings

[Stewart 2021] From techno-optimism to techno-realism: What it means to innovate responsibly

Stewart discusses how to innovate responsibly when building for a diverse and global community, as Facebook does. Unbridled technology-optimism isn’t a healthy approach to responsible innovation, i.e. the belief that technology advancements are always a net positive contribution to our world.

By leveraging a diverse set of perspectives, technology can empower people and should be developed collaboratively with the intended users. The technologies we deploy may unintentionally reinforce or amplify the pre-existing prejudices.

In designing new virtual assistant voices, Stewart’s Responsible Innovation team reflected early in the design process to challenge the status quo that a voice assistant should have a female persona and voice. This is a socially-aware lens applied to development.

Beyond the “target users” of a product, we should also consider who would be impacted by others’ use of the product via an expansive stakeholder analysis. This process is augmented by codesign wherein community members are treated as equal collaborators in the design process via a participatory approach. Participants were paid a “meaningful honorarium” for their engagement.

To empower people, reduce reinforcing existing societal biases, and improve the condition of others, technologies need to expand their scope of professional responsibility, as a digital urban planner of sorts.

Lecture on 2022-01-03

AI & User experience design

Tesla’s autopilot feature requires UX design. The touchscreen requires your full attention to operate it, a mode ripe for multi-modal interactions involving more than one interaction mode (e.g., voice with a screen output, gestures to a voice output).

Tesla Autopilot

(Image: Roberto Nickson, Unsplash)

Smart speakers use a voice UI but do not provide a natural interaction with context and knowledge about the user. In general, what should we show to a user? Who are other stakeholders and what should they see from an AI system. Are there design patterns to support smart UIs?

Balancing design thinking & technology

A balance between human-centered approaches and technical approaches in CS/engineering. Design involves:

  1. Humans: the end users, cognition, vision, perception, motor abilities, etc.
  2. Tasks & Activities we want to support for the people we are designing for
  3. Technology: what users already have or new tech we might bring to them. This synthesis takes context in organizational and societal issues.

Design discovery and exploring ideas

The Design Thinking process is outlined to the right. Beyond a seemingly-linear process, there are loops or steps back in this process.

User experience goals include:

  1. Learnable: faster the second time
  2. Memorable: from session to session
  3. Flexible: multiple ways to do tasks
  4. Efficient: perform tasks quickly
  5. Robust: minimal error rates, good feedback so user can recover
  6. Discoverable: learn new features over time
  7. Pleasing: high user satisfaction
  8. Fun

User-centered design involves:

  1. Cognitive abilities: perception, physical manipulation, memory
  2. Organizational/education job abilities
  3. Keeping users involved throughout: developers working with target customers, think of the world in the users’ terms

Accessible design involves catering to:

  1. Different abilities: vision, hearing, cognitive, mobility (e.g., blind users with screen readers)
  2. Moral and ethical purpose: inclusive design benefits everyone (e.g., sidewalk curb cuts)
  3. Legal guidance: Americans with Disabilities Act (ADA) which includes websites and apps per the Department of Justice

Needfinding involves observing existing practices for inspiration making sure that key questions are answered including ethical questions in design with underserved communities. Needfinding transforms into sketching and storyboarding. Concept videos illustrate the context of the user rather than the specific UI, a relatively quick and inexpensive process that forces us to think about how the user will actually use the app.

Rapid prototyping & evaluation

Rapid prototypes allow us to build a mock-up of a design so it can be tested, typically taking the form of paper sketches or interactive tools like HTML, Balsamiq, Axure, proto.io, Sketch, Marvel, Modao, etc. UI builders include Expression Blend with Visual Studio, Xcode’s Interface Builder, etc. Test with real customers (“participants”) with an interactive prototype. Low-cost techniques involve expert evaluation (heuristic evaluation).


© Pramod Kotipalli 2022

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